SKU: 25333057910

Evolved Somebunny to Love *

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Description

Evolved Somebunny to Love *Somebunny loves you! This gorgeous creature has two powerful motors that work together to rock your world at the touch of one button. Realistically crafted from rich, creamy silicone, the main shaft arches slightly while the hard working rabbit ears bop to your beat with 9 speeds and functions to choose from. Use the sturdy suction cup base for hands free play, even under water as its completely submersible. Magnetic rechargeable via USB, easy to

Somebunny loves you! This gorgeous creature has two powerful motors that work together to rock your world at the touch of one button. Realistically crafted from rich, creamy silicone, the main shaft arches slightly while the hard-working rabbit ears bop to your beat – with 9 speeds and functions to choose from. Use the sturdy suction cup base for hands-free play, even under water as it’s completely submersible. Magnetic rechargeable via USB, easy to clean.

Realistic rabbit vibe with suction cup base
9-speed chunky bunny ear stimulator
9-speed realistically textured shaft & head
2 motors controlled together
1-button control panel
Powerful suction cup base for hands-free play
Made from creamy smooth silicone
Height: 7.75", Depth: 2.81", Width: 2.79"
Insertable Length 5“, Insertable diameter 1.49“
Weight: .5 lb.
Waterproof & submersible
Phthalate & latex free
Magnetic rechargeable, USB cable included
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SKU: 25333057910

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4.8 ★★★★★
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Product Reviews
J
Verified Purchase
Jason Bolton
Lake Worth, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Omaha, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Alexandria, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Grantham, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
K
Verified Purchase
K. Wain
Lowell, US
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026

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